José Novoa
José Novoa
Ph.D., Research Engineer, Speech Processing and Transmission Laboratory, University of Chile
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DNN-HMM based Automatic Speech Recognition for HRI Scenarios
J Novoa, J Wuth, JP Escudero, J Fredes, R Mahu, NB Yoma
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018
Uncertainty weighting and propagation in DNN–HMM-based speech recognition
J Novoa, J Fredes, V Poblete, NB Yoma
Computer Speech & Language 47, 30-46, 2018
Locally Normalized Filter Banks Applied to Deep Neural-Network-Based Robust Speech Recognition
J Fredes, J Novoa, S King, RM Stern, NB Yoma
IEEE Signal Processing Letters 24 (4), 377-381, 2017
Automatic Speech Recognition for Indoor HRI Scenarios
J Novoa, R Mahu, J Wuth, JP Escudero, J Fredes, NB Yoma
ACM Transactions on Human-Robot Interaction (THRI) 10 (2), 1-30, 2021
Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios
A Díaz, R Mahu, J Novoa, J Wuth, J Datta, NB Yoma
Computer Speech & Language, 101136, 2020
Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction
J Novoa, R Mahu, A Díaz, J Wuth, R Stern, NB Yoma
arXiv preprint arXiv:1906.07298, 2019
Robustness over time-varying channels in DNN-HMM ASR based human-robot interaction
J Novoa, J Wuth, JP Escudero, J Fredes, R Mahu, R Stern, NB Yoma
Proc. Interspeech 2017, 839-843, 2017
An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition
JP Escudero, J Novoa, R Mahu, J Wuth, F Huenupán, R Stern, NB Yoma
arXiv preprint arXiv:1803.09016, 2018
Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification
J Fredes, J Novoa, V Poblete, S King, RM Stern, NB Yoma
Sixteenth Annual Conference of the International Speech Communication …, 2015
Highly-Reverberant Real Environment database: HRRE
JP Escudero, V Poblete, J Novoa, J Wuth, J Fredes, R Mahu, R Stern, ...
arXiv preprint arXiv:1801.09651, 2018
Multichannel Robot Speech Recognition Database: MChRSR
J Novoa, JP Escudero, J Fredes, J Wuth, R Mahu, NB Yoma
arXiv preprint arXiv:1801.00061, 2017
The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms.
V Poblete, JP Escudero, J Fredes, J Novoa, RM Stern, S King, NB Yoma
INTERSPEECH, 2373-2377, 2016
On combining features for single-channel robust speech recognition in reverberant environments
J Novoa, J Fredes, J Wuth, F Huenupán, RM Stern, NB Yoma
arXiv preprint arXiv:1906.07299, 2019
Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments
J Novoa, JP Escudero, J Wuth, V Poblete, S King, R Stern, NB Yoma
arXiv preprint arXiv:1803.09013, 2018
Robust speech recognition in noisy and reverberant environments using deep neural network-based systems
JE Novoa Ilic
Universidad de Chile, 2018
DNN-based uncertainty estimation for weighted DNN-HMM ASR
J Novoa, J Fredes, NB Yoma
arXiv preprint arXiv:1705.10368, 2017
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